Class date |
Chapter |
Topic |
Problems |
Lab Assignments and example Matlab code |
Jan 22 |
2 |
Outcomes, events, and probability |
|
Intro Matlab, questions, answers |
Jan 24 |
3 | Conditional probability |
D2.1, D2.2, D2.4, D2.9, D3.4, D3.9 (due Jan 29) |
Birthday Problem Descr and Matlab code |
Jan 29 |
3 |
D3.10, D3.16, D3.18, B2.3, B2.5, B2.30 (due Feb 5) |
M3.1 (due Feb. 8) | |
Jan 31 |
4 |
|
BinomialEx, geom_pmf | |
Feb 5 |
4 |
D4.2, D4.3, D4.4, D4.7, D4.8, D4.11 (due Feb 12) |
M4.1 (lab) | |
Feb 7 |
5 |
|
M4.2 (due Feb. 22) | |
Feb 12 |
5 | Continuous random variables, darts |
D5.1, D5.3, D5.5, D5.11, homework in Naive Bayes Classifier (due Feb. 19) |
Ex_question5_3 |
Feb 14 |
|
|
NaiveBayesClass | |
Feb 19 |
6 |
|
Gaussian Ex, sampling Ex | |
Feb 21 |
6 |
D6.1, D6.3, D6.6, D6.9 (due Feb. 26) |
||
Feb 26 |
6 |
|
M6.1 (lab), M6.2 (due Mar. 8) |
|
Feb 28 |
7 |
D7.1, D7.2, D7.9, D7.13 (due Mar. 5) |
M7.1 (lab) | |
Mar 5 |
9 |
Joint distributions and independence | ||
Mar 7 |
9 |
Double Integral 1,
Double Integrals 2 |
D9.1, D9.3, D9.6, D9.7, D9.14 (due Mar. 19) |
|
Mar 19 | Review | |||
Mar 21 |
|
Midterm exam |
||
Mar 26 |
10 |
D10.1, D10.5, D10.8, D10.11, D10.15 (due Apr. 2) |
M10.1 (due Apr. 5) | |
Mar 28 |
|
Midterm exam discussion |
|
|
Apr 2 |
12 |
D12.2, D12.3, D12.4, D12.5, D12.7 (due Apr. 9) |
||
Apr 4 |
13 |
Law of Large Numbers, Khan Video |
--- |
|
Apr 9 |
15 |
Data analysis: graphical summaries |
D15.1, D15.2, D15.5, D15.7 (due Apr. 16) |
Kernel Density Ex M15 (due Apr. 19) |
Apr 11 |
16 | Data analysis: numerical summaries |
--- |
M16 (lab) |
Apr 16 |
17, 19 |
Basic statistical models Unbiased estimators |
D17.1, D17.2, D17.4, D17.5, D19.3 (due Apr. 23) |
|
Apr 18 |
20 |
Efficiency and mean squared error |
D20.1, D20.5 (due Apr. 23) |
|
Apr 23 |
21 |
Maximum likelihood ML Video |
D21.2, D21.7, D21.9 (due Apr. 30) |
|
Apr 25 |
22 |
The method of least squares |
D22.2, D22.3, D22.4, D22.8 (due Apr. 30) |
|
Apr 30 | Review | |||
May 2 |
|
Review |
|
|
May 9 |
|
Final Exam |
Time: 8:00 to 10:00 |
in TL 403B |
B: Michael Baron. Probability and Statistics for Computer Scientists, CRC 2006.
D: Dekking, F.M., Kraaikamp, C., Lopuhaa, H.P., Meester, L.E., A Modern Introduction to Probability and Statistics. Second Edition. Springer 2007.
M: Matlab assignment from Lab Assignments